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Cited by 1,052

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Motion graphs

Kovar, Lucas, Gleicher, Michael, Pighin, Frédéric·2008·ACM SIGGRAPH 2008 classes

Abstract

In this paper we present a novel method for creating realistic, controllable motion. Given a corpus of motion capture data, we automatically construct a directed graph called a motion graph that encapsulates connections among the database. The motion graph consists both of pieces of original motion and automatically generated transitions. Motion can be generated simply by building walks on the graph. We present a general framework for extracting particular graph walks that meet a user's specifications. We then show how this framework can be applied to the specific problem of generating different styles of locomotion along arbitrary paths.

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Crossref · 10.1145/1401132.1401202

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Metadata

Authors
Kovar, L., Gleicher, M., & Pighin, F.
Venue
ACM SIGGRAPH 2008 classes
Publisher
ACM
Published
2008-08-11
Pages
1-10
OpenAlex
W2336236730
Cited by
1,052
References
25
FWCI
162.57
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Motion graphs. https://app.cochat.ai/papers/10.1145/1401132.1401202
The paper
Kovar, L., Gleicher, M., & Pighin, F. (2008). Motion graphs. ACM SIGGRAPH 2008 classes. https://doi.org/10.1145/1401132.1401202

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.